Design and develop scalable, resilient offline indexing pipelines for Slack’s search infrastructure
Partner with product engineering to conceptualize and ship new features
Collaborate to ensure high availability and reliability of distributed search systems
Own team features and systems end-to-end, define their long-term health
Deploy, configure, test, troubleshoot, maintain, and upgrade Solr clusters
Continuously optimize infrastructure and configuration of Solr clusters
Support operations team in resolving production issues
Raise the bar on engineering standards, tooling, and processes
Build and ship high-quality, production-grade software with AI as a core part of development workflow
Design and orchestrate complex systems where AI agents integrate into human workflows
Contribute to building and maintaining shared system context

4+ years of applicable software engineering experience
Worked extensively with distributed data processing frameworks such as Spark, Hadoop, MapReduce, or EMR
Hands-on experience with Solr, Elasticsearch, Lucene, or other search technologies
Familiar with infrastructure/ops tools and frameworks such as Terraform, Chef, and Kubernetes
Proficient with functional or imperative programming languages — e.g., PHP, Python, Ruby, Go, C, or Java
High-availability, performant, and scalable systems experience
Experience planning, implementing, and deploying software migrations and upgrades in production environments
Strong communicator
Solid computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval
Genuine, demonstrated AI-first approach to engineering

Software Engineer II, Search & Data Infrastructure

Key skills